Insights into multiple/single lower bound approximation for extended variational inference in non-Gaussian structured data modeling

Z Ma, J Xie, Y Lai, J Taghia, JH Xue… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
For most of the non-Gaussian statistical models, the data being modeled represent strongly
structured properties, such as scalar data with bounded support (eg, beta distribution) …
被引用次数：43 相关文章
[PDF] core.ac.uk

[PDF][PDF] Insights into Multiple/Single Lower Bound Approximation for Extended Variational Inference in Non-Gaussian Structured Data Modeling

Z Ma, J Xie, Y Lai, J Taghia, JH Xue, J Guo - core.ac.uk
For most of non-Gaussian statistical models, the data being modeled represent strongly
structured properties, such as scalar data with bounded support (eg, beta distribution) …

Insights Into Multiple/Single Lower Bound Approximation for Extended Variational Inference in Non-Gaussian Structured Data Modeling

Z Ma, J Xie, Y Lai, J Taghia… - IEEE transactions on …, 2020 - pubmed.ncbi.nlm.nih.gov
For most of the non-Gaussian statistical models, the data being modeled represent strongly
structured properties, such as scalar data with bounded support (eg, beta distribution) …

Insights Into Multiple/Single Lower Bound Approximation for Extended Variational Inference in Non-Gaussian Structured Data Modeling.

Z Ma, J Xie, Y Lai, J Taghia, JH Xue… - IEEE Transactions on …, 2019 - europepmc.org
For most of the non-Gaussian statistical models, the data being modeled represent strongly
structured properties, such as scalar data with bounded support (eg, beta distribution) …

Insights Into Multiple/Single Lower Bound Approximation for Extended Variational Inference in Non-Gaussian Structured Data Modeling

Z Ma, J Xie, Y Lai, J Taghia, JH Xue… - IEEE Transactions on …, 2020 - diva-portal.org
For most of the non-Gaussian statistical models, the data being modeled represent strongly
structured properties, such as scalar data with bounded support (eg, beta distribution) …

Insights Into Multiple/Single Lower Bound Approximation for Extended Variational Inference in Non-Gaussian Structured Data Modeling

Z Ma, J Xie, Y Lai, J Taghia, JH Xue… - IEEE Transactions on …, 2019 - discovery.ucl.ac.uk
For most of the non-Gaussian statistical models, the data being modeled represent strongly
structured properties, such as scalar data with bounded support (eg, beta distribution) …
[PDF] researchgate.net

[PDF][PDF] Insights into Multiple/Single Lower Bound Approximation for Extended Variational Inference in Non-Gaussian Structured Data Modeling

Z Ma, J Xie, Y Lai, J Taghia, JH Xue, J Guo - researchgate.net
For most of non-Gaussian statistical models, the data being modeled represent strongly
structured properties, such as scalar data with bounded support (eg, beta distribution) …